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Zero Shot Transfer 3D Point Cloud 2

Metrics

OBJ_ONLY Accuracy(%)

Results

Performance results of various models on this benchmark

Paper Title
ReCon++65.4ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
Uni3D65.3Uni3D: Exploring Unified 3D Representation at Scale
TAMM-PointBERT (+dlign)60.5OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
ViT-Lens60.1ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights
OpenDlign59.5OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
MixCon3D-PointBERT58.6Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
PointCLIP V250.09PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
ReCon43.7Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
CLIP2Point30.46CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
PointCLIP19.28PointCLIP: Point Cloud Understanding by CLIP
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Zero Shot Transfer 3D Point Cloud 2 | SOTA | HyperAI